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This course aims to explore the application cases and practical experiences of artificial intelligence (AI) and machine learning (ML) in the business domain. By analyzing real-world cases across various industries, including finance, healthcare, retail, manufacturing, etc., participants will understand how AI and ML technologies help businesses improve efficiency, reduce costs, enhance user experience, and discover new business opportunities.


本课程旨在探讨人工智能（AI）和机器学习（ML）在商业领域中的应用案例和实践经验。通过分析各行业的实际案例，包括金融、医疗、零售、制造等领域，学员将了解AI和ML技术如何帮助企业提高效率、降低成本、改善用户体验以及发现新的商业机会。

Training Outline

  • Understand the basic principles and major application areas of artificial intelligence and machine learning, recognizing their widespread applications and potential value in business.
  • Analyze and evaluate artificial intelligence and machine learning application cases in different industries, understanding the underlying business logic and technical implementation methods.
  • Foster innovative thinking and application capabilities, learning from case studies to explore how artificial intelligence and machine learning technologies can be applied to business practices in their respective industries, enhancing competitiveness and innovation capabilities.
  • 了解人工智能和机器学习的基本原理和主要应用领域，认识到其在商业中的广泛应用和潜在价值。
  • 分析和评估不同行业中的人工智能和机器学习应用案例，能够理解其背后的商业逻辑和技术实现方式。
  • 培养创新思维和应用能力，学会从案例中汲取经验教训，探索如何将人工智能和机器学习技术应用于自己所在行业的商业实践中，提升企业竞争力和创新能力。

Who Should Attend?

  • 对人工智能和机器学习在商业中应用案例感兴趣的企业高管、业务决策者
  • 希望了解如何利用这些技术来推动创新和业务增长的企业管理者和创新业务负责人

Speakers

  • Xiangyun Lu (Assistant Professor at IBSS, Xi’an Jiaotong-Liverpool University)

    Xiangyun Lu

    Assistant Professor at IBSS, Xi’an Jiaotong-Liverpool University

    Xiangyun Lu is Assistant Professor with expertise in Computer Science and Accounting. She has skillfully incorporated modern technologies and innovative methodologies into classes and practice. She is working on integrating Python and Machine Learning into the business curriculum, addressing the digital skills gap, and preparing participants for the dynamic job market.

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Tickets

Please use your own name and email when registering for a training session. Additional fees may apply if you fail to register under your own identity. 


A prepayment is required for all full-day training sessions. 

全天培训课程需要提前付款。

Member Ticket

Definition of a Member: You are personally registered as a member and hold a membership card.

Member Price RMB 3,050
Member Company Employee Ticket
Standard Price RMB 3,050
Non-Member Ticket
Standard Price RMB 3,800
Group Tickets

Three or more people from one member company

Standard Price RMB 2,950

Registration

  • All registrations shall be made online before the session. For full-day sessions, payment also shall be made before the session.
  • For full-day sessions, AmCham Shanghai members are eligible to attend at "Member Rate"; Employees who work at AmCham Shanghai member companies are eligible to attend at "Employee Rate"; Non-members are eligible to attend at "Non-Member Rate".
  • Limited spaces are available, and attendance will be given on a first-come, first-served basis.
Walk-in and Cancellation Policy
  • This session requires confirmation of attendance in advance. If you attend this session without prior registration, you will be charged an RMB 50 "walk-in" fee as member and RMB 100 as employee.
  • Cancellation: If you need to cancel your registration for a half-day session, please notify Cynthia Xia at (86 21) 6169 3016 or email Cynthia.Xia@amcham-shanghai.org no less than 24 hours in advance. If you need to cancel your registration for a full-day session, please notify Ray Cheng at least two weeks prior to the session for a full refund. Cancellation made within two weeks before the session will not be refundable.
  • To ensure that you have a seat, please come to the session on time. Open seats will be released to other guests 15 minutes after the session starts.

Venue

AmCham Shanghai Conference Center

27F, Infinitus Tower
No.168 Hubin Road, Huangpu District
新天地湖滨路168号无限极大厦27楼
Shanghai, China

If you have any questions please contact Kelly Deng

Contact Organizer

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